TymeX Accelerates Clean Coding by 40% by Implementing Generative AI on AWS

TymeX Group is reimagining digital banking in emerging markets. Its TymeX division offers a scalable and highly replicable model for designing, building, and commercializing digital banks for underserved populations. Deployed first in South Africa and more recently in the Philippines, TymeX currently serves 12 million customers.

TymeX has long valued an agile development culture, with an emphasis on efficient, quick iteration. The company also recognizes the importance of employee satisfaction in delivering the best product possible and cultivating innovation. In 2023, the business began experimenting with generative artificial intelligence (AI) to streamline its development workloads.

Tri Tran, solution architect at TymeX, says, “We believe in working closely with our internal teams to understand their challenges, identify opportunities for AI integration, and cocreate solutions that address employees’ needs effectively. At TymeX we’re building an AI-first engineering culture. AI isn't just an extra tool or side project; it's at the heart of how our organization operates.”

Given the industry context of banking, ensuring security and compliance for AI projects was essential. After exploring various platforms, TymeX approached Amazon Web Services (AWS) for support in developing generative AI applications. Says Tri, “AWS offers a wide range of security features and services that meet the most stringent industry standards, and its platform is trusted by countless financial institutions across the world.”

TymeX had a clear implementation strategy: it would first purchase and customize generative AI solutions on AWS, facilitating quick deployment of new technology in its operations. Phase two involved building custom generative AI applications in-house. Collaborating with experts from AWS Enterprise Support, TymeX honed in on an initial use case: automating recurring aspects of its software development lifecycle (SDLC). This would help developers focus on more critical business logic—while simultaneously enhancing code quality.

AWS conducted on-site training sessions in cloud networking and introduced Amazon CodeWhisperer, an AI-powered productivity tool. TymeX applied Amazon CodeWhisperer in the SDLC to help over 200 developers write unit tests. The service improves productivity by generating code recommendations from natural-language questions, saving time developers would spend searching for code snippets. It also completes boilerplate code automatically, suggests entire functions or blocks from comments, and proactively detects security issues.
TymeX also implemented Amazon Q, an interactive, generative AI–powered assistant that supports developers by answering questions about coding tasks, AWS services best practices, and internal documentation. “Amazon Q helps us with troubleshooting errors as we deploy various services on AWS, explaining why the error might have occurred and providing suggestions on how to fix it,” explains Tri.

Tri continues, “Amazon CodeWhisperer and Amazon Q form a powerful duo. Developers have AI assistants to help with every part of their job, from writing code to deploying solutions. These tools boost productivity, accelerate learning curves, and ensure developers can focus on their most creative work.”

TymeX chose Amazon Bedrock to develop its own AI solutions, utilizing its diverse range of AI models. Engineers built an internal AI chatbot called Tymee to answer questions about company directories and more. The chatbot soon made its way onto Slack, TymeX’s internal communication channel, to promote AI adoption throughout the company. Employees can ‘like’ or ‘dislike’ answers received from Tymee, which helps the AI bot learn and improve over time. The chatbot was recently applied to a new use case in human resources, helping non-technical employees screen curricula vitae for engineering and development roles.